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• W2250607250 abstract "The measurement of semantic relatedness between two words is an important metric for many natural language processing applications. In this paper, we present a novel approach for measuring semantic relatedness that is based on a weighted semantic network. This approach explores the use of a lexicon, semantic relation types as weights, and word definitions as a basis to calculate semantic relatedness. Our results show that our approach outperforms many lexicon-based methods to semantic relatedness, especially on the TOEFL synonym test, achieving an accuracy of 91.25%." @default.
• W2250607250 created "2016-06-24" @default.
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• W2250607250 date "2013-09-01" @default.
• W2250607250 modified "2023-09-25" @default.
• W2250607250 title "Using a Weighted Semantic Network for Lexical Semantic Relatedness" @default.
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